Retell AI MCP Server
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage RetellAI voice services including calls, agents, phone numbers, and voices through natural language.190 npmISC

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- AlicenseAqualityDmaintenanceManage voice AI agents, make calls, run campaigns, and control phone numbers through natural language.5811 npm1MIT
- FlicenseAqualityDmaintenanceProvides complete programmatic access to the Retell AI platform, enabling autonomous management of voice and text agents, telephony, and monitoring.60-
- AlicenseNot gradedqualityAmaintenanceEnables managing AI voice agents, phones, integrations, workflows, calls, and billing directly from chat, including editing agent settings, connecting CRMs, and reviewing call logs.MIT
TDQS
Scored across 52 tools
Most tools have distinct purposes targeting specific resources and actions, such as create_agent vs. update_agent. However, some overlap exists between retell_create_chat and retell_create_chat_completion, where the distinction between starting a chat and sending a message might be ambiguous without careful reading of descriptions. Overall, the set is well-organized but has minor confusion points.
All tools follow a consistent verb_noun pattern with the prefix 'retell_' and snake_case throughout, such as retell_create_agent, retell_list_calls, and retell_update_phone_number. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.
With 52 tools, the count is excessive for a single server, making it overwhelming and difficult for agents to manage. While the domain (Retell AI) is broad, the number of tools could be consolidated or better scoped, as many operations (e.g., create, get, update, delete, list) are repeated across multiple resource types, leading to redundancy.
The tool set provides comprehensive CRUD and lifecycle coverage for all major resources in the Retell AI domain, including agents, calls, chats, knowledge bases, LLMs, phone numbers, and conversation flows. There are no obvious gaps; each resource type has create, get, update, delete, and list operations, ensuring agents can handle full workflows without dead ends.